1 citations · 1 across the 13 of their papers we have counts for
3 papers · 1 filter
NOCaL: Calibration-Free Semi-Supervised Learning of Odometry and Camera Intrinsics
Ryan Griffiths, Jack Naylor, Donald G. Dansereau
There are a multitude of emerging imaging technologies that could benefit robotics. However the need for bespoke models, calibration and low-level processing represents a key barri…
BuFF: Burst Feature Finder for Light-Constrained 3D Reconstruction
Ahalya Ravendran, Mitch Bryson, Donald G. Dansereau
Robots operating at night using conventional vision cameras face significant challenges in reconstruction due to noise-limited images. Previous work has demonstrated that burst-ima…
Semantically Accurate Super-Resolution Generative Adversarial Networks
Tristan Frizza, Donald G. Dansereau, Nagita Mehr Seresht +1
This work addresses the problems of semantic segmentation and image super-resolution by jointly considering the performance of both in training a Generative Adversarial Network (GA…